Measuring the mind for a better future together.
BlueSkeye AI’s aim is to create the most-used technology for ethical machine understanding of face and voice behaviour you can trust to measure your mind through the use of ubiquitously available, affordable technology.
We use machine learning to objectively and automatically analyse face and voice data and interpret medically relevant expressed behaviour to help clinicians, patients and their friends and families assess, treat and monitor health, mood and mental state.
Our Founding CEO Michel Valstar explained more about how the technology works behind the scenes at CES
We empower our customers to help people improve their quality of life at home, in their cars, and at work. Our solutions use machine learning to objectively and automatically analyse face and voice data to interpret medically relevant expressed behaviour.
Our products build on over 18 years of research by Prof Michel Valstar and his team in the Affective Computing (AC) and Social Signal Processing (SSP) field. Professor Valstar has published over 100 peer-reviewed publications, which have been cited over 15,000 times making him the second most cited person in the field of SSP.
Professor Valstar co-founded BlueSkeye AI in 2019, with Dr Anthony Brown (CTO) and Chief Machine Learning and Software Engineer Dr Timur Almaev.
The company was a spin-out from The University of Nottingham’s School of Computer Science. In October of this year BlueSkeye received £3.4m in funding in a venture capital funding round led by XTX Ventures.
